1. Publication Deprecation Notice
2. About the PCIe* -based Design Example
3. Getting Started with the FPGA AI Suite PCIe* -based Design Example
4. Building the FPGA AI Suite Runtime
5. Running the Design Example Demonstration Applications
6. Design Example Components
7. Design Example System Architecture for the Agilex™ 7 FPGA
A. FPGA AI Suite PCIe-based Design Example User Guide Archives
B. FPGA AI Suite PCIe-based Design Example User Guide Document Revision History
5.1. Exporting Trained Graphs from Source Frameworks
5.2. Compiling Exported Graphs Through the FPGA AI Suite
5.3. Compiling the PCIe* -based Example Design
5.4. Programming the FPGA Device ( Agilex™ 7)
5.5. Performing Accelerated Inference with the dla_benchmark Application
5.6. Running the Ported OpenVINO™ Demonstration Applications
2. About the PCIe* -based Design Example
The FPGA AI Suite PCIe* -based design example ( Agilex™ 7) demonstrates how the Intel® Distribution of OpenVINO™ toolkit and the FPGA AI Suite support the look-aside deep learning acceleration model.
The PCIe-based design example ( Agilex™ 7) is implemented with the following components:
- FPGA AI Suite IP
- Intel® Distribution of OpenVINO™ toolkit
- Terasic* DE10-Agilex Development Board
- Sample hardware and software systems that illustrate the use of these components
This design example includes pre-built FPGA bitstreams that correspond to pre-optimized architecture files. However, the design example build scripts let you choose from a variety of architecture files and build (or rebuild) your own bitstreams, provided that you have a license permitting bitstream generation.
This design is provided with the FPGA AI Suite as an example showing how to incorporate the IP into a design. This design is not intended for unaltered use in production scenarios. Any potential production application that uses portions of this example design must review them for both robustness and security.